Geometric morphometric analysis of spore shapes improves identification of fungi

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dc.date.accessioned2021-10-20T13:03:25Z
dc.date.available2021-10-20T13:03:25Z
dc.date.issued2021-08-05
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kasselger
dc.identifierdoi:10.17170/kobra-202110114875
dc.identifier.urihttp://hdl.handle.net/123456789/13310
dc.language.isoengeng
dc.relation.doidoi:10.1371/journal.pone.0250477
dc.relation.issupplementedbydoi:10.1371/journal.pone.0250477.s001
dc.relation.issupplementedbydoi:10.1371/journal.pone.0250477.s002
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectfungal sporeseng
dc.subjectmorphometryeng
dc.subjectfungieng
dc.subjectprincipal component analysiseng
dc.subjecttaxonomyeng
dc.subjectfourier analysiseng
dc.subjectgeometryeng
dc.subjectsequence alignmenteng
dc.subject.ddc570
dc.subject.swdPilzsporeger
dc.subject.swdMorphometrieger
dc.subject.swdPilzeger
dc.subject.swdHauptkomponentenanalyseger
dc.subject.swdSystematikger
dc.subject.swdHarmonische Analyseger
dc.subject.swdGeometrieger
dc.subject.swdAlignment <Biochemie>ger
dc.titleGeometric morphometric analysis of spore shapes improves identification of fungieng
dc.typeAufsatz
dc.type.versionpublishedVersion
dcterms.abstractMorphology of organisms is an essential source of evidence for taxonomic decisions and understanding of ecology and evolutionary history. The geometric structure (i.e., numeric description of shape) provides richer and mathematically different information about an organism’s morphology than linear measurements. A little is known on how these two sources of morphological information (shape vs. size) contribute to the identification of organisms when implied simultaneously. This study hypothesized that combining geometric information on the outline with linear measurements results in better species identification than either evidence alone can provide. As a test system for our research, we used the microscopic spores of fungi from the genus Subulicystidium (Agaricomycetes, Basidiomycota). We analyzed 2D spore shape data via elliptic Fourier and principal component analyses. Using flexible discriminant analysis, we achieved the highest species identification success rate for a combination of shape and size descriptors (64.7%). The shape descriptors alone predicted species slightly better than size descriptors (61.5% vs. 59.1%). We conclude that adding geometric information on the outline to linear measurements improves the identification of the organisms. Despite the high relevance of spore traits for the taxonomy of fungi, they were previously rarely analyzed with the tools of geometric morphometrics. Therefore, we supplement our study with an open access protocol for digitizing and summarizing fungal spores’ shape and size information. We propagate a broader use of geometric morphometric analysis for microscopic propagules of fungi and other organisms.eng
dcterms.accessRightsopen access
dcterms.creatorOrdynets, Alexander
dcterms.creatorKeßler, Sarah
dcterms.creatorLanger, Ewald
dcterms.source.articlenumbere0250477
dcterms.source.identifiereissn:1932-6203
dcterms.source.issue8
dcterms.source.journalPLOS ONEeng
dcterms.source.volume16
kup.iskupfalse

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